Sales teams waste valuable time chasing leads that never convert. Traditional lead scoring models are static and unreliable. Sales leaders like Patrick need a smarter way to identify high-potential leads using behavioral signals and contextual data—without relying on gut instinct or outdated spreadsheets.
Sales teams struggle to focus on the right leads due to inconsistent or outdated scoring methods. The challenge is to design an AI-driven lead scoring and management system that helps teams predict lead potential based on real-time signals—so they can prioritize outreach and close more deals, faster.
Consider the following factors to ensure a well-rounded, user-centered, and business-aligned solution
User Experience & Usability
Problem-Solving & Critical Thinking
Business Alignment & Feasibility
Visual & Interaction Design
Innovation & Creativity
Clarity & Presentation
1. User Flow or Journey Map
2. Wireframes or UI Mockups
3. Prototype (Optional)
4. Design Rationale & Case Study
5. Accessibility Considerations
6. Impact Metrics & Success Measurement
Expert
2 - 3 days
Access Control, Accessibility, Admin UX, AI and Machine Learning UX, AI Automation, AI Chatbot Development, AI Content Assistance, AI Explainability, AI Personalization, AI Prioritization
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